Relation Classification on TACREV K=16 low-resource revised
34.6Micro F1GenPT (RoBERTa)
Evaluation results
| Method | Links | |
|---|---|---|
| GenPT (RoBERTa)Learning Paradigm=Prompt Tuning, Backbone=RoBERTa2022.10 | 34.6 | |
| GenPT (BART)Learning Paradigm=Prompt Tuning, Backbone=BART2022.10 | 34.3 | |
| KnowPromptLearning Paradigm=Prompt Tuning, Backbone=RoBERTa2022.10 | 33.1 | |
| GenPT (T5)Learning Paradigm=Prompt Tuning, Backbone=T52022.10 | 32.6 | |
| PTRLearning Paradigm=Prompt Tuning, Backbone=RoBERTa2022.10 | 31.4 | |
| TYP MarkerLearning Paradigm=Fine-tuning, Backbone=RoBERTa2022.10 | 31.2 | |
| TANLLearning Paradigm=Fine-tuning, Backbone=T52022.10 | 28.8 | |
| LUKELearning Paradigm=Fine-tuning, Backbone=LUKE2022.10 | 22 | |
| GDPNetLearning Paradigm=Fine-tuning2022.10 | 20.8 | |
| SpanBERTLearning Paradigm=Fine-tuning, Backbone=SpanBERT2022.10 | 5.7 |